Data Engineer, Analytics
WriteWise
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AirflowAmazon RedshiftBigQueryPythonSQL
About the role
- Own and evolve Thatch’s modern data stack (Redshift, dbt, Fivetran, Dagster/Airflow, Metabase, Hex).
- Build reliable ELT pipelines to integrate internal systems and third-party APIs with strong observability and scale.
- Model core business logic (e.g., plan years, employer funding, engagement metrics) into scalable dbt models.
- Establish trust in data through monitoring, testing, and CI/CD best practices.
- Collaborate cross-functionally to support analytics, experimentation, and strategic decision-making.
Requirements
- 3–5+ years of experience in data engineering, analytics engineering, or backend engineering with a data focus.
- Strong software engineering skills (Python preferred) with experience in modular pipelines and tooling.
- Advanced SQL and hands-on experience with dbt.
- Familiarity with orchestration tools (Airflow, Dagster, Prefect) and modern data warehouses (Redshift, Snowflake, BigQuery).
- Comfortable partnering cross-functionally with product, ops, and analytics.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringanalytics engineeringbackend engineeringPythonSQLdbtELT pipelinesmodular pipelinesobservabilityCI/CD
Soft skills
collaborationcross-functional partnershipstrategic decision-making